Clinical characteristics of people presenting with first episode psychosis pre- and during the COVID-19 pandemic in KwaZulu-Natal Province, South Africa.

BACKGROUND: The COVID-19 pandemic and the lockdown experience may have not only precipitated or exacerbated mental illness but also influenced access to care and the nature and content of the psychotic symptomatology of people with psychosis. AIM: This study aimed to evaluate the association of the COVID-19 pandemic and lockdown experience on clinical presentation and quality of life of people (QOL) with first episode psychosis (FEP). METHOD: Two first episode psychosis cohorts from the same epidemiological area collected prior to, and during the COVID-19 pandemic and lockdown were compared in terms of clinical symptomatology, substance use and QOL. All adult in- and outpatients with FEP at five clinical units in KwaZulu-Natal, South Africa, aged between 18 and 45 years, were assessed with the MINI interview for psychosis, Positive and Negative Symptoms Scale, WHO Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) and the WHO QOL scales. RESULTS: Eighty-eight FEP participants were recruited between 2019 and 2020 (cohort 1) before the pandemic. Study recruitment was suspended in March 2020 due to the pandemic. On study resumption from November 2020 to November 2022, 95 new participants (cohort 2) were recruited. There were no sociodemographic differences between the two cohorts, except unemployment status (57% vs. 65%) and household income. The cohort presenting post-COVID-19 pandemic onset had significantly more positive psychotic symptoms (21.9 vs. 23.7), lower PANSS domain depressive score, more lifetime use of tobacco, cannabis and alcohol. However, they reported improved QOL (196 vs. 239). CONCLUSION: Following the pandemic and lockdown experience participants presented with more severe psychotic symptoms and concomitant substance use but improved perceived QOL. This suggests the need to explore individual and social factors that may influence the clinical presentation.

Water, sanitation and depression in rural communities: evidence from nationally representative study data in South Africa.

Clean water and sanitation provisions are essential for good hygiene and health, with rural South Africa facing a simultaneous access crisis of both, the direct health effect of restricted access to both on mental health remaining scarce and largely overlooked. This study investigated the association between access to clean water and sanitation on depression in rural South Africa utilizing the most recent data (year 2017) from the South African National Income Dynamics Study. Our study outcome was depression, based on the 10-item abridged version of the Center for Epidemiologic Studies Depression Scale (data available in SA-NIDS), the main exposures being access to clean water and adequate sanitation facilities (i.e. flushing toilets). Two types of analyses were conducted: first, adjusted logistic regression models were fitted to assess the relationship between lack of access to clean water and adequate sanitation to depression. Second, we conducted mediation analysis to investigate whether access to clean water mediated the relationship between lack of access to toilets and depression. A high proportion of rural participants lacked access to clean water (n = 6,188, 47.6%) and adequate toilets (n = 9,797, 81.6%). The regression analyses indicated that lack of access to both clean water (OR = 1.21, 95% CI: 1.06-1.39) and adequate sanitation (OR = 1.36, 95% CI: 1.10-1.69) were significantly associated with greater odds of depression. The mediation analysis indicated that access to clean water partially mediated the relationship between lack of access to adequate sanitation and depression, the total mediated effect being 18.2% (95% CI: 11.0%-51.0%). Most rural communities in South Africa lack access to basic services that are essential for human dignity and a decent quality of life, leading to opportunities for poor mental health, with its various consequences for socio-economic development and personal wellbeing, including avoidable depression.

Spatial clustering of food insecurity and its association with depression: a geospatial analysis of nationally representative South African data, 2008-2015.

While food insecurity is a persistent public health challenge, its long-term association with depression at a national level is unknown. We investigated the spatial heterogeneity of food insecurity and its association with depression in South Africa (SA), using nationally-representative panel data from the South African National Income Dynamics Study (years 2008-2015). Geographical clusters ("hotpots") of food insecurity were identified using Kulldorff spatial scan statistic in SaTScan. Regression models were fitted to assess association between residing in food insecure hotspot communities and depression. Surprisingly, we found food insecurity hotspots (p < 0.001) in high-suitability agricultural crop and livestock production areas with reliable rainfall and fertile soils. At baseline (N = 15,630), we found greater likelihood of depression in individuals residing in food insecure hotspot communities [adjusted relative risk (aRR) = 1.13, 95% CI:1.01-1.27] using a generalized linear regression model. When the panel analysis was limited to 8,801 participants who were depression free at baseline, residing in a food insecure hotspot community was significantly associated with higher subsequent incidence of depression (aRR = 1.11, 95% CI:1.01-1.22) using a generalized estimating equation regression model. The association persisted even after controlling for multiple socioeconomic factors and household food insecurity. We identified spatial heterogeneity of food insecurity at a national scale in SA, with a demonstrated greater risk of incident depression in hotspots. More importantly, our finding points to the "Food Security Paradox", food insecurity in areas with high food-producing potential. There is a need for place-based policy interventions that target communities vulnerable to food insecurity, to reduce the burden of depression.

Exposure to waste sites and their impact on health: a panel and geospatial analysis of nationally representative data from South Africa, 2008-2015.

BACKGROUND: Rapid population growth, urbanisation, and economic development have led to an unprecedented number of waste sites in developing countries. This challenge has become a contentious international relations issue, with an unsustainable amount of waste and its health consequences often being borne by developing countries. However, little national-level evidence is available in sub-Saharan Africa to quantify the association between exposure to waste sites and health. METHODS: We used panel data from the South African National Income Dynamics Study (SA-NIDS) to investigate the association between exposure to waste sites and asthma, tuberculosis, diabetes, and depression. The SA-NIDS is a panel survey of a nationally representative sample in South Africa, which includes data reporting the health status of 32 255 individuals between 2008 and 2015. The study exposure was distance of households, in km, to the nearest waste site, derived from waste site geospatial locations from the South Africa Waste Information System. FINDINGS: We observed a substantial increase in exposure of households to waste sites between 2008 and 2015. The median distance between study households and waste sites decreased from 68·3 km (IQR 31·1-111·7) to 8·5 km (3·0-23·7). Residing within 5 km of a waste site was significantly associated with asthma (adjusted relative risk 1·41; 95% CI 1·20-1·64), tuberculosis (1·18; 1·02-1·36), diabetes (1·25; 1·05-1·49), and depression (1·08; 1·03-1·14). The association persisted even after controlling for multiple socioeconomic factors. INTERPRETATION: We identified multiple adverse health outcomes in individuals living close to waste sites at a national level in South Africa, suggesting the need to reduce the number and size of waste sites to diminish harmful effects on health and wellbeing for communities living in close proximity to such sites. FUNDING: South African Medical Research Council, South African National Treasury, and Wellcome Trust.

Income inequality and depression: a systematic review and meta-analysis of the association and a scoping review of mechanisms.

Most countries have witnessed a dramatic increase of income inequality in the past three decades. This paper addresses the question of whether income inequality is associated with the population prevalence of depression and, if so, the potential mechanisms and pathways which may explain this association. Our systematic review included 26 studies, mostly from high-income countries. Nearly two-thirds of all studies and five out of six longitudinal studies reported a statistically significant positive relationship between income inequality and risk of depression; only one study reported a statistically significant negative relationship. Twelve studies were included in a meta-analysis with dichotomized inequality groupings. The pooled risk ratio was 1.19 (95% CI: 1.07-1.31), demonstrating greater risk of depression in populations with higher income inequality relative to populations with lower inequality. Multiple studies reported subgroup effects, including greater impacts of income inequality among women and low-income populations. We propose an ecological framework, with mechanisms operating at the national level (the neo-material hypothesis), neighbourhood level (the social capital and the social comparison hypotheses) and individual level (psychological stress and social defeat hypotheses) to explain this association. We conclude that policy makers should actively promote actions to reduce income inequality, such as progressive taxation policies and a basic universal income. Mental health professionals should champion such policies, as well as promote the delivery of interventions which target the pathways and proximal determinants, such as building life skills in adolescents and provision of psychological therapies and packages of care with demonstrated effectiveness for settings of poverty and high income inequality.

Counting the cost of Afrophobia: Post-migration adaptation and mental health challenges of African refugees in South Africa.

There are few studies on the role of migration within sub-Saharan Africa and its relation to the development of mental illness. We investigated post-resettlement adaptation and mental health challenges of African refugees/migrants in Durban, South Africa. We interviewed 335 African help-seeking refugees/migrants for anxiety, depression (25-item Hopkins Symptom Checklist) and post-traumatic stress symptoms (30-item Harvard Trauma Questionnaire). Socio-demographic and migration history, focusing on post-migration circumstances and experiences of discrimination in the host country, were obtained. Association between migration and post-settlement factors and mental health outcomes were assessed using adjusted logistic regression models. Prevalence of mental distress was high: 49.4% anxiety, 54.6% depression and 24.9% post-traumatic stress symptoms. After adjustment for family separation since migration, recent arrival in South Africa was associated with increased risk for depression (aOR = 4.0, 95% CI:1.3-11.8) and post-traumatic stress (aOR = 5.2, 95% CI:1.7-15.9), while in unadjusted models, older age on arrival was associated with anxiety (aOR = 5.3, 95% CI:1.4-19.8) and depression (aOR = 6.2, 95% CI:1.6-24.3). History of family separation since migration was independently associated with depression and post-traumatic stress in all models. Discriminatory experiences since migration was also an independent risk factor for all three mental health outcomes. Finally, being divorced/widowed was associated with an increased risk for post-traumatic stress, while higher income earners were protected against post-traumatic symptoms, even after adjustment. Refugees/migrants in South Africa show a significant burden of mental distress that is linked to challenges of adjustment in an often hostile context. Services addressing these and other health-related, social-economic needs should be developed as a priority.

Green environment and incident depression in South Africa: a geospatial analysis and mental health implications in a resource-limited setting.

BACKGROUND: Unprecedented levels of habitat transformation and rapid urbanisation are changing the way individuals interrelate with the natural environment in developing countries with high economic disparities. Although the potential benefit of green environments for mental health has been recognised, population-level evidence to this effect is scarce. We investigated the effect of green living environment in potentially countering incident depression in a nationally representative survey in South Africa. METHODS: We used panel data from the South African National Income Dynamics Study (SA-NIDS). Our study used SA-NIDS data from three waves: wave 1 (2008), wave 2 (2010), and wave 3 (2012). Households were sampled on the basis of a stratified two-stage cluster design. In the first stage, 400 primary sampling units were selected for inclusion. In the second stage, two clusters of 12 dwelling units each were drawn from within each primary sampling unit (or 24 dwelling units per unit). Household and individual adult questionnaires were administered to participants. The main outcome, incident depression (ie, incident cohort of 11 156 study participants without significant depression symptoms at their first entry into SA-NIDS), was assessed in the adult survey via a ten item version of the Center for Epidemiologic Studies Depression Scale; a total score of ten or higher was used as a cutoff to indicate significant depressive symptoms. Each participant was assigned a value for green living space via a satellite-derived normalised difference vegetation index (NDVI) based on the GPS coordinates of their household location. FINDINGS: Overall, we found uneven benefit of NDVI on incident depression among our study participants. Although the green living environment showed limited benefit across the study population as a whole, our final analysis based on logistic regression models showed that higher NDVI was a predictor of lower incident depression among middle-income compared with low-income participants (adjusted odds ratio [aOR] 0·98, 0·97-0·99, p<0·0001), although when this analysis was broken down by race, its positive effect was particularly evident amongst African individuals. Living in rural areas was linked to lower odds of incident depression (aOR 0·71, 0·55-0·92, p=0·011) compared with study participants residing in urban informal areas that often lack formal planning. INTERPRETATION: Our results imply the importance of green environments for mental wellbeing in sub-Saharan African settings experiencing rapid urbanisation, economic and epidemiological transition, reaffirming the need to incorporate environmental services and benefits for sustainable socioeconomic development. FUNDING: South African Medical Research Council, National Institutes of Health, and Academy of Finland.

Income inequality widens the existing income-related disparity in depression risk in post-apartheid South Africa: Evidence from a nationally representative panel study.

AIM: Income inequality (II) and poverty are major challenges in South Africa (SA) yet little is known about their interaction on population mental health. We explored relationships between district II, household income (HHI) and depressive symptoms in national panel data. METHOD: We used 3 waves (2008, 2010, 2012) of the SA National Income Dynamics Study (n=25936) in adjusted mixed effects logistic regression to assess if the relationship between HHI and depressive symptoms is dependent on level of II. Depressive symptoms were assessed with Centre for Epidemiologic Studies Depression scale, and District inequality ratios (P10P90) derived from HHI distributions in 53 districts. RESULTS: Lower HHI and increasing II were associated with depressive symptoms. The interaction term between HHI and II on depressive symptoms was significant (ß=0.01, 95% CI: <0.01-0.01); with increasing II and decreasing HHI, depression risk increased. CONCLUSION: II widens income-related disparities in depression risk in SA, with policy implications for understanding socioeconomic determinants of mental health and informing global efforts to reduce disparities in high poverty and inequality contexts.

Food Insecurity and Risk of Depression Among Refugees and Immigrants in South Africa.

South Africa's refugee population has grown considerably over the last decade. Both food insecurity and mental illness are common in developing countries, but this relationship remains unexamined in an African refugee population. 335 adult refugees in Durban, South Africa were interviewed using a self-report of food insecurity and the Hopkins Symptom Checklist-25. The proportion of those who responded 'often true' to not having enough food and eating less was 23.1 and 54.3 %, respectively. The proportion of individuals with a significant level of anxiety and depressive symptomatology was 49.4 and 54.6 %, respectively. The adjusted logistic regression indicated that not eating enough was significantly associated with anxiety (aOR = 4.52, 95 % CI: 2.09-9.80) and depression (aOR = 4.51, 95 % CI: 2.01-10.09). Similarly, eating less was significantly associated with anxiety (aOR = 2.88, 95 % CI: 1.56-5.31) and depression (aOR = 2.88, 95 % CI: 1.54-5.39). The high prevalence of food insecurity, and its relationship to mental illness, highlight the importance of addressing basic needs among this population.

Measuring social inclusion--a key outcome in global mental health.

BACKGROUND: Social inclusion is increasingly recognized as a key outcome for evaluating global mental health programmes and interventions. Whereas social inclusion as an outcome is not a new concept in the field of mental health, its measurement has been hampered by varying definitions, concepts and instruments. To move the field forward, this paper reviews the currently available instruments which measure social inclusion and are reported in the literature, realizing that no single measure will be appropriate for all studies or contexts. METHODS: A systematic literature search of English language peer-reviewed articles published through February 2013 was undertaken to identify scales specifically developed to measure social inclusion or social/community integration among populations with mental disorders. RESULTS: Five instruments were identified through the search criteria. The scales are discussed in terms of their theoretical underpinnings, domains and/or key items and their potential for use in global settings. Whereas numerous reviewed abstracts discussed mental health and social inclusion or social integration, very few were concerned with direct measurement of the construct. All identified scales were developed in high-income countries with limited attention paid to how the scale could be adapted for cross-cultural use. CONCLUSIONS: Social inclusion is increasingly highlighted as a key outcome for global mental health policies and programmes, yet its measurement is underdeveloped. There is need for a global cross-cultural measure that has been developed and tested in diverse settings. However, until that need is met, some of the scales presented here may be amenable to adaptation.

Mental health services funding and development in KwaZulu-Natal: a tale of inequity and neglect.

BACKGROUND: Globally, a significant 'mental health gap' exists between the major burden of mental and substance use disorders and the provision of psychiatric and mental health services. As a signatory to the UN Convention on the Rights of Persons with Disabilities, South Africa has committed itself to transformation aimed at ending the inequities that characterise mental health service provision and 'closing the gap'. METHODOLOGY: Budget allocations over a 5-year period to 6 psychiatric and 7 general hospitals in KwaZulu-Natal (KZN) are compared and current numbers of psychiatric beds and psychiatric personnel in that province are contrasted with the numbers required to comply with national norms. RESULTS: The mean increase in budget allocations to public psychiatric hospitals was 3.8% per annum, while that to general hospitals over the same period was 10.2% per annum. The median cumulative budget increase for psychiatric hospitals was significantly lower than that of general hospitals (Mann-Whitney U-test, p=0.001). No psychiatric hospitals received specific funding for tertiary services development. KZN has 25% of the acute psychiatric beds and 25% of the psychiatrists required to comply with national norms, with the most serious shortages experienced in northern KZN. There are 0.38 psychiatrists per 100 000 population in KZN. CONCLUSION: Inequitable funding, inadequate facilities and significant shortages of mental health professionals pervade the mental health and psychiatric services in KZN. There is little evidence of government abiding by its public commitments to redress the inequities that characterise mental health services.